We apply LPT for neural architecture search in image classification tasks. Following [1]}, we first perform architecture search which finds out an optimal cell, then perform architecture evaluation which composes multiple copies of the searched cell into a large network, trains it from scratch, and evaluates the trained model on the test set. We let the target task of the learner and that of the tester be the same.
